Rules, not a model, decide the score
The score comes from fixed, published checks and weights; AI is used to phrase and to drive the simulator, never to grade.
What we build, the market it sits in and what we can show today. Every figure on this page is measured or sourced, with its date; we don’t publish customer, revenue or growth figures here.
Problem
Why now
Sourced figures from our statistics page; most measure the US market.
51% Share of US consumers who used at least one AI tool to shop in the past month; the first time above 50%.
+138% Growth in AI-referred visits to US retail sites in May 2026 versus a year earlier.
Source: Adobe Analytics (Digital Commerce 360) ↗ ·
$3-5T McKinsey’s estimate of global agentic commerce by 2030 (up to $1 trillion in the US). A forecast, not a measurement.
Source: McKinsey (Digital Commerce 360) ↗ ·
₺4.57T Türkiye’s e-commerce volume in 2025; it grew 52% in nominal lira terms, with 634,000 businesses selling online. There is no official measurement of agent-driven sales in Türkiye yet.
Source: Turkish Ministry of Trade ↗ ·
Wedge
Product
Specoria is an agent-readiness platform for online stores: it tests and fixes how AI shopping agents such as ChatGPT, Gemini, Claude and Perplexity read a store's products, prices, policies and checkout.
Business model
Traction
Three usage numbers from our weekly snapshot, each with its week and what it counts. Nothing here is estimated.
Week of October 12, 2026 to October 18, 2026 (Monday to Sunday, UTC). Snapshot taken October 19, 2026, 06:37 UTC.
| Measure | That week | Cumulative | What it counts |
|---|---|---|---|
| Free tests run | 4 | 34 | Free tests on specoria.com that measured a store. A repeat test of the same store answered from a recent result isn’t counted again. Tests run by our own team are included. The cumulative figure counts the test records we keep, and we keep them for 12 months. |
| Agent simulations run | 1 | Not measured | Simulator sessions in which AI agents visited a store in a real browser: free runs on the site that started in the browser, plus simulations from customer projects (demo projects excluded). A session counts once, however many agents it runs. There is no cumulative figure because free run records are deleted after 30 days. |
| Verified fixes | 0 | 0 | Checks on customer projects that had failed and then passed when we measured the store again after the customer applied a fix. Each check counts once per project, in the week it first passed. Demo projects and checks closed for other reasons are excluded. |
These are the only numbers from our own data that we publish each week. We don’t publish revenue, customer, subscription or lead numbers. Machine-readable version: /api/usage.json.
Defensibility
The score comes from fixed, published checks and weights; AI is used to phrase and to drive the simulator, never to grade.
The simulator runs agents from several model families on the live site and records where they stop.
Figures on our site come from a claims register with source and date, and a test fails the build if a statistic has no source. Mistakes go to a public corrections log.
Turkish and English across site, panel and reports, with checks for Turkish checkout and legal pages.
Status
October 15, 2026
Company
Due diligence
Public pages that show how the product works and how we handle mistakes and data.
For AI agents
/investors.json/llms.txt. Every page also has a Markdown version at the same address plus index.md.Contact
Write to contact@specoria.com with “Investors” in the subject. We reply by email.
No active funding round · open to meeting investors